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README.md

Data and Models

Pre-trained Models

Download link

Google Drive: https://drive.google.com/drive/folders/1bLhqXNoBxHh5PTbjoyqMnMtBzHwflL-q?usp=sharing

Direct Link: http://www.sdspeople.fudan.edu.cn/fuyanwei/download/Pixel2MeshPlusPlus/

Usage

The downloaded pre-training model zip file includes two components of our model: coarse shape generation and multi-view deformation network.

Please extract the model to the coarse_mvp2m and refine_p2mpp folders respectively according to the corresponding names. The folder structure after unzip should be as follows.

results
├── coarse_mvp2m
│   └── models
└── refine_p2mpp
    └── models

Dataset

We use ShapeNet as our training and testing data.

Iamges

For input images, we use rendering images from Choy et. al..

Download image datasets and place them in a folder:

mkdir ShapeNetImages
wget http://cvgl.stanford.edu/data2/ShapeNetRendering.tgz

Please modify train/test_image_path to your 3D model path in the configuration file in cfg/ before training.

Ground-truth model

For ground-truth model, we adopt the dataset provided by Wang et.al.. Specifically, our pre-process approach is sampling point cloud with vertex normal from origin ShapeNet 3D models.

When using the provided data make sure to respect the shapenet license.

Download ground-truth models and place them in a folder:

mkdir ShapeNetModels
wget http://www.sdspeople.fudan.edu.cn/fuyanwei/download/Pixel2MeshPlusPlus/p2mpp_models.tar.gz
tar xzvf p2mpp_models.tar.gz

We also provided Google Drive link for ground truth models data.

The zip file has already split data into train/test set. Please modify train/test_data_path to your 3D model path in the configuration file in cfg/ before training.

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